What modern management trends have you witnessed?

[John Olotu]

More AI tools included

[John Olotu]

1. Comprehensive AI toolkit expanded
2. More AI-powered tools at your disposal
3. Extended AI capabilities for improved productivity
4. AI toolbox upgraded with new features
5. Broadened AI suite for enhanced efficiency

[John Olotu]

N?A

[John Olotu]

ITAM has evolved significantly in recent years, driven by technological advancements, regulatory changes, and the growing need for cost optimization and risk mitigation. Here are some of the key modern trends:

1. Cloud and Hybrid IT Environments
Increased complexity: The proliferation of cloud services and hybrid IT environments has made IT asset management more complex.  
Visibility challenges: Tracking assets across different platforms and locations can be difficult.  
Automation: Tools and technologies are being developed to automate asset discovery, tracking, and management in cloud environments.
 
2. Data-Driven ITAM
Analytics: Leveraging data analytics to gain insights into asset utilization, costs, and risks.  
Predictive maintenance: Using data to predict asset failures and optimize maintenance schedules.  
Cost optimization: Identifying opportunities to reduce IT spending through better asset utilization and management.
 
3. Automation and Artificial Intelligence (AI)
Automated workflows: Using AI to automate routine tasks such as asset discovery, reconciliation, and reporting.  
Predictive analytics: Applying AI to predict asset failures and optimize maintenance schedules.  
Intelligent asset management: Developing AI-powered solutions to optimize asset utilization and reduce costs.

[April Moshos]

Software License Management among the DOD to assist with asset management, tool tracking and financial budgeting. Getting a complete picture of the organizations software baseline that yields better decision making.

[Deanna Pasianotto]

remote asset management

[Deanna Pasianotto]

remote asset management and AI integration

[Diksha Kishor Badnore]

1. Agile and Agile-inspired methodologies
2. Remote work and hybrid work models
3. Employee experience and well-being

[Andrzej Budzinski]

The development of AI, automation, scattered environments, boasting decision-making and work life-balance awareness.

[melodiemoore]

This is a test

[melodiemoore]

Testing

[melodiemoore]

Testing2

[melodiemoore]

testing

[Yara Sanchez]

9-30 Tech Test

[Pedro Lua]

I have witnessed the amazing evolution of the globalization of technology services in the last 20 years, living experiences from the incipient Agile method till the Cloud Centric Management, and nowadays with the AI in the automation field.

[Author]

Posts